Top Remote Data & Analytics Jobs in Tucson, AZ

The Senior Director, Epidemiology leads epidemiology strategies and activities for Revolution Medicines, including developing plans, overseeing deliverables, and collaborating on clinical development and safety aspects.

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

The Senior Data Engineer will design, implement, and optimize scalable data solutions, working with data pipelines and collaborating with cross-functional teams in healthcare.

The Data Engineer designs and maintains scalable data infrastructure to support enterprise products, ensuring efficient data ingestion, transformation, and delivery across systems while collaborating with cross-functional teams.

The EDI Growth Specialist at Alvys focuses on creating and maintaining EDI data mappings, translating various data formats, collaborating with team members, and validating mappings for EDI integrations.

The Fundraising Data Manager will manage data processing for clients, develop custom SQL scripts, create reports, and manage client CRM.

Design, build, and maintain scalable, reliable data pipelines and services. Write well-tested Python and SQL code, work with orchestration (Airflow), containers, and cloud infrastructure. Collaborate cross-functionally to deliver data products and improve development processes.

The role involves deploying ForgeRock's identity technology, analyzing access patterns, developing IAM strategies, and integrating with privileged access management services.

The GTM Operations, Strategy and Insights Lead will analyze data to generate insights for Sales, Marketing, and Customer Success, supporting strategic initiatives and performance metrics within Thinkific.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.